Peer-reviewed article
LEGAL REVIEW OF CHILD NUTRITION HEALTH REGARDING THE CHALLENGES OF STUNTING IMPLICATIONS IN CHILDREN WITH SPECIAL NEEDS IN RURAL AREAS THROUGH THE UTILIZATION OF ARTIFICIAL INTELLIGENCE
Ely Yulian ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This legal review examines stunting and malnutrition in children with special needs living in rural Indonesia, where access to healthcare and nutrition education is limited. The study analyzes legal obligations under Indonesian Health Law No. 17 of 2023 for governments to provide health services and education. The authors argue that artificial intelligence could help detect and monitor stunting early through data analysis and provide timely intervention recommendations. The main barriers identified are poor access to services, low community awareness about nutrition, and lack of effective programs, which AI-based solutions could help address.
Key points
- Children with special needs in rural areas face significant barriers to healthcare access and nutritional information
- Indonesian law requires central and local governments to provide healthcare facilities and health education
- AI could enable early detection and treatment of stunting through health data analysis
- Main obstacles include limited access to services, community knowledge gaps about nutrition, and ineffective intervention programs
- Collaboration between government, health institutions, and technology sectors is needed for effective implementation
Limitations
This is a legal review rather than an empirical study, so it does not provide direct evidence on the effectiveness of AI interventions for stunting reduction or on actual implementation outcomes. The document presents conceptual arguments about AI potential rather than validated data on health impacts.
Abstract
Children with special needs are vulnerable in rural areas to nutrition problems, including stunting, due to limited access to health services and minimal nutrition knowledge. Article 11 of Law No. 17 of 2023 on Health emphasizes the responsibility of the Central and Local Governments to provide access to healthcare facilities and health education. In this case, the utilization of artificial intelligence (AI) can help monitor, diagnose, and intervene more effectively against stunting through accurate data analysis and timely recommendations. The objective of this study is to analyse the legal challenges related to child nutritional health, especially stunting in children with special needs in rural areas, and explore the potential of utilizing AI in addressing this issue. The research method used is normative juridical, using a statutory approach and an analytical approach. The results show that children with special needs in rural areas face various challenges in accessing health services and nutritional information. Limited access, lack of community knowledge about the importance of nutrition, and lack of effective intervention programs are the main obstacles. On the other hand, the use of AI can help in early detection and treatment of stunting through health data analysis, and provide appropriate intervention recommendations. The use of artificial intelligence has great potential in improving the effectiveness of child nutrition health programs and reducing stunting cases among children with special needs in rural areas. Collaboration between the government, health institutions, and technology is needed to implement this solution effectively and sustainably.